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A real world example of how a team at Shopify was able to migrate their Redux stack. They considered tradeoffs for two approaches to refactoring, gave code examples of how they decided to implement Redux Thunks differently, and summarized learnings from the process.
Next.js 13 comes with support for their App Router (beta) and React Server Components (RSCs). This tutorial is useful for learning how to use the new App Router and RSCs in a real-world example of spinning up a blog. It also provides a good starting point for your own exploration and experimentation.
An example of using chain-of-thought and general knowledge prompting with ChatGPT to write self-testing code.
With the new addition of WebGPU in Chrome, there are new possibilities for browser-based applications. This website goes through the fundamentals of WebGPU.
The “Flow” state - time where you can process large amounts of information and “get stuff done” - is very valuable for knowledge workers like software engineers. This article gives tips on getting into and staying in the “flow” state.
Phind is an AI search engine designed for developers. It answers questions with detailed explanations and relevant code snippets from the web. Phind generates answers based on information from multiple sources. Users can adjust the expertness level or how concise answers are.
Perplexity, a startup with an AI-powered search chatbot, has announced a host of new features. Users can now specify which sources they want the chatbot to search. Threads can now be saved and edited. The search chatbot now supports longer multiline queries and requests for coding and code debugging. It can also provide responses in different formats. Perplexity has started to ask users to register accounts to use its personalized features.
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This paper introduces Vicuna-13B, an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations. Vicuna-13B outperforms other models like LLaMA and Stanford Alpaca in over 90% of cases while achieving a quality of over 90% compared to OpenAI ChatGPT and Google Bard. The cost of training Vicuna-13B is around $300, and the code and demo are publicly available for non-commercial use.
VidStyleODE combines StyleGAN and Neural-ODEs for disentangled video representation, enabling applications like appearance manipulation, motion manipulation, image animation, and video interpolation/extrapolation.
AdaM, an Adaptive Matting framework for Dynamic Videos, tackles the limitations of trimap-free methods by simultaneously differentiating foregrounds from backgrounds and capturing alpha matte details in diverse, unstructured videos. Utilizing an interconnected encoder-decoder network and a transformer network, AdaM improves matting realism and temporal coherence, achieving best-in-class generalizability for complex real-world videos.
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On the tails of a recent fundraise, the vector database startup Chroma is looking to hire a hacker for 3 months to build cool AI applications that require long-term memory. Specifically, they hope this hacker can be mostly self driven and build something powerful! I expect to see more of these sorts of positions pop up, given the ease of MVP development on top of language models.
A project that aims to Edit and Generate Anything in an image, powered by Segment Anything, ControlNet, BLIP2, and Stable Diffusion.
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